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06/27/2023
Chronic pain detection from resting-state raw EEG signals using improved feature selection
We present an automatic approach that works on resting-state raw EEG dat...
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02/01/2023
Variational Autoencoder Learns Better Feature Representations for EEG-based Obesity Classification
Obesity is a common issue in modern societies today that can lead to var...
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10/11/2022
Sizing up the Batteries: Modelling of Energy-Harvesting Sensor Nodes in a Delay Tolerant Network
For energy-harvesting sensor nodes, rechargeable batteries play a critic...
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08/30/2022
Finding neural signatures for obesity through feature selection on source-localized EEG
Obesity is a serious issue in the modern society since it associates to ...
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05/31/2022
Variational Transfer Learning using Cross-Domain Latent Modulation
To successfully apply trained neural network models to new domains, powe...
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10/22/2021
Semi-Supervised Semantic Segmentation of Vessel Images using Leaking Perturbations
Semantic segmentation based on deep learning methods can attain appealin...
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12/21/2020
Cross-Domain Latent Modulation for Variational Transfer Learning
We propose a cross-domain latent modulation mechanism within a variation...
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12/21/2020
Resting-state EEG sex classification using selected brain connectivity representation
Effective analysis of EEG signals for potential clinical applications re...
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09/25/2020
Deep Adversarial Transition Learning using Cross-Grafted Generative Stacks
Current deep domain adaptation methods used in computer vision have main...
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02/17/2019